Computational Geosciences最新文献

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Global sensitivity analysis using multi-resolution polynomial chaos expansion for coupled Stokes–Darcy flow problems Stokes–Darcy流耦合问题的多分辨率多项式混沌展开全局灵敏度分析
IF 2.5 3区 地球科学
Computational Geosciences Pub Date : 2023-07-26 DOI: 10.1007/s10596-023-10236-z
I. Kröker, S. Oladyshkin, I. Rybak
{"title":"Global sensitivity analysis using multi-resolution polynomial chaos expansion for coupled Stokes–Darcy flow problems","authors":"I. Kröker, S. Oladyshkin, I. Rybak","doi":"10.1007/s10596-023-10236-z","DOIUrl":"https://doi.org/10.1007/s10596-023-10236-z","url":null,"abstract":"","PeriodicalId":10662,"journal":{"name":"Computational Geosciences","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45299427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Binary well placement optimization using a decomposition-based multi-objective evolutionary algorithm with diversity preservation 基于分解的多样性保持多目标进化算法在二元井布局优化中的应用
IF 2.5 3区 地球科学
Computational Geosciences Pub Date : 2023-07-25 DOI: 10.1007/s10596-023-10235-0
Matheus Bernardelli de Moraes, G. P. Coelho, A. A. S. Santos, D. Schiozer
{"title":"Binary well placement optimization using a decomposition-based multi-objective evolutionary algorithm with diversity preservation","authors":"Matheus Bernardelli de Moraes, G. P. Coelho, A. A. S. Santos, D. Schiozer","doi":"10.1007/s10596-023-10235-0","DOIUrl":"https://doi.org/10.1007/s10596-023-10235-0","url":null,"abstract":"","PeriodicalId":10662,"journal":{"name":"Computational Geosciences","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46970073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Robustness and efficiency of iteration schemes for variably saturated flow across the range of soils, initial and boundary conditions found in practice 在实践中发现的不同土壤、初始条件和边界条件下变饱和流迭代方案的鲁棒性和效率
IF 2.5 3区 地球科学
Computational Geosciences Pub Date : 2023-07-23 DOI: 10.1007/s10596-023-10230-5
Denis Maier, H. Montenegro, B. Odenwald
{"title":"Robustness and efficiency of iteration schemes for variably saturated flow across the range of soils, initial and boundary conditions found in practice","authors":"Denis Maier, H. Montenegro, B. Odenwald","doi":"10.1007/s10596-023-10230-5","DOIUrl":"https://doi.org/10.1007/s10596-023-10230-5","url":null,"abstract":"","PeriodicalId":10662,"journal":{"name":"Computational Geosciences","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43460130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Hard enforcement of physics-informed neural network solutions of acoustic wave propagation 声波传播的物理信息神经网络解决方案的硬执行
IF 2.5 3区 地球科学
Computational Geosciences Pub Date : 2023-07-23 DOI: 10.1007/s10596-023-10232-3
Harpreet Sethi, Doris Pan, Pavel Dimitrov, J. Shragge, Gunter Roth, K. Hester
{"title":"Hard enforcement of physics-informed neural network solutions of acoustic wave propagation","authors":"Harpreet Sethi, Doris Pan, Pavel Dimitrov, J. Shragge, Gunter Roth, K. Hester","doi":"10.1007/s10596-023-10232-3","DOIUrl":"https://doi.org/10.1007/s10596-023-10232-3","url":null,"abstract":"","PeriodicalId":10662,"journal":{"name":"Computational Geosciences","volume":"1 1","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42020479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
An integrated framework for optimal monitoring and history matching in CO $$_{2}$$ storage projects CO $$_{2}$$存储项目中最优监测和历史匹配的集成框架
IF 2.5 3区 地球科学
Computational Geosciences Pub Date : 2023-07-23 DOI: 10.1007/s10596-023-10216-3
Dylan M. Crain, Sally M. Benson, Sarah D. Saltzer, Louis J. Durlofsky
{"title":"An integrated framework for optimal monitoring and history matching in CO $$_{2}$$ storage projects","authors":"Dylan M. Crain, Sally M. Benson, Sarah D. Saltzer, Louis J. Durlofsky","doi":"10.1007/s10596-023-10216-3","DOIUrl":"https://doi.org/10.1007/s10596-023-10216-3","url":null,"abstract":"<p>Monitoring is an important component of geological carbon storage operations because it provides data that can be used to estimate key quantities such as CO<span>(_{2})</span> plume location. The design of the monitoring strategy is complicated, however, because the monitoring plan must be established prior to the availability of extensive flow data. In this work, we present and apply a framework that integrates monitoring well optimization and (subsequent) history matching. The monitoring well optimization entails finding the locations of monitoring wells such that, with the data acquired at those locations, the expected uncertainty reduction in a particular flow quantity is maximized. This optimization requires the simulation of a large set of prior models, though these simulations need only be performed once for a given injection scenario. Once the monitoring wells are in place and CO<span>(_{2})</span> injection begins, history matching is performed using the monitoring data. This is accomplished here using an ensemble smoother with multiple data assimilation. The overall framework is applied to variogram-based geomodels that are representative of an actual storage project under development in the USA. Two injection scenarios are considered with two different (synthetic) ‘true’ models, which provide the observed data. History matched models are constructed using data from both optimally located and heuristically placed monitoring wells. Posterior uncertainty, evaluated in terms of the cumulative distribution function for a metric related to plume extent over the ensemble of history matched models, is shown to be minimized through use of optimized monitoring wells. These results demonstrate the importance of optimizing the monitoring plan, and the degree of uncertainty reduction that can be realistically achieved.</p>","PeriodicalId":10662,"journal":{"name":"Computational Geosciences","volume":"23 6","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138514558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
High-order compact difference schemes based on the local one-dimensional method for high-dimensional nonlinear wave equations 基于局部一维方法的高维非线性波动方程的高阶紧致差分格式
IF 2.5 3区 地球科学
Computational Geosciences Pub Date : 2023-07-14 DOI: 10.1007/s10596-023-10226-1
Mengling Wu, Z. Wang, Y. Ge
{"title":"High-order compact difference schemes based on the local one-dimensional method for high-dimensional nonlinear wave equations","authors":"Mengling Wu, Z. Wang, Y. Ge","doi":"10.1007/s10596-023-10226-1","DOIUrl":"https://doi.org/10.1007/s10596-023-10226-1","url":null,"abstract":"","PeriodicalId":10662,"journal":{"name":"Computational Geosciences","volume":"27 1","pages":"687 - 705"},"PeriodicalIF":2.5,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47349625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Adaptive mesh refinement in locally conservative level set methods for multiphase fluid displacements in porous media 多孔介质中多相流体驱替的局部保守水平集方法中的自适应网格细化
IF 2.5 3区 地球科学
Computational Geosciences Pub Date : 2023-07-13 DOI: 10.1007/s10596-023-10219-0
Deepak Singh, H. A. Friis, E. Jettestuen, J. O. Helland
{"title":"Adaptive mesh refinement in locally conservative level set methods for multiphase fluid displacements in porous media","authors":"Deepak Singh, H. A. Friis, E. Jettestuen, J. O. Helland","doi":"10.1007/s10596-023-10219-0","DOIUrl":"https://doi.org/10.1007/s10596-023-10219-0","url":null,"abstract":"","PeriodicalId":10662,"journal":{"name":"Computational Geosciences","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49474638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Solving the fixed gravimetric boundary value problem by the finite element method using mapped infinite elements. 利用映射无限元的有限元方法求解固定重力边值问题。
IF 2.5 3区 地球科学
Computational Geosciences Pub Date : 2023-07-05 DOI: 10.1007/s10596-023-10224-3
M. Macák, Z. Minarechová, Lukáš Tomek, R. Cunderlík, K. Mikula
{"title":"Solving the fixed gravimetric boundary value problem by the finite element method using mapped infinite elements.","authors":"M. Macák, Z. Minarechová, Lukáš Tomek, R. Cunderlík, K. Mikula","doi":"10.1007/s10596-023-10224-3","DOIUrl":"https://doi.org/10.1007/s10596-023-10224-3","url":null,"abstract":"","PeriodicalId":10662,"journal":{"name":"Computational Geosciences","volume":"27 1","pages":"649 - 662"},"PeriodicalIF":2.5,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42364295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An enhanced V-cycle MgNet model for operator learning in numerical partial differential equations 一种用于数值偏微分方程算子学习的增强型v循环MgNet模型
3区 地球科学
Computational Geosciences Pub Date : 2023-07-01 DOI: 10.1007/s10596-023-10211-8
Jianqing Zhu, Juncai He, Qiumei Huang
{"title":"An enhanced V-cycle MgNet model for operator learning in numerical partial differential equations","authors":"Jianqing Zhu, Juncai He, Qiumei Huang","doi":"10.1007/s10596-023-10211-8","DOIUrl":"https://doi.org/10.1007/s10596-023-10211-8","url":null,"abstract":"","PeriodicalId":10662,"journal":{"name":"Computational Geosciences","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135264336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A quasi-Newton trust-region method for optimization under uncertainty using stochastic simplex approximate gradients 用随机单纯形近似梯度求解不确定条件下优化问题的拟牛顿信赖域方法
IF 2.5 3区 地球科学
Computational Geosciences Pub Date : 2023-06-24 DOI: 10.1007/s10596-023-10218-1
Esmail Eltahan, F. Alpak, K. Sepehrnoori
{"title":"A quasi-Newton trust-region method for optimization under uncertainty using stochastic simplex approximate gradients","authors":"Esmail Eltahan, F. Alpak, K. Sepehrnoori","doi":"10.1007/s10596-023-10218-1","DOIUrl":"https://doi.org/10.1007/s10596-023-10218-1","url":null,"abstract":"","PeriodicalId":10662,"journal":{"name":"Computational Geosciences","volume":"27 1","pages":"627 - 648"},"PeriodicalIF":2.5,"publicationDate":"2023-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45367478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
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